Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
division vs multiplication
(version: 1)
Comparing performance of:
division vs multiplication
Created:
one year ago
by:
Guest
Jump to the latest result
Script Preparation code:
var x = Math.random() * 1000 var y
Tests:
division
y = x / 100
multiplication
y = x * 0.01
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
division
multiplication
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
4 months ago
)
User agent:
Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Mobile Safari/537.36
Browser/OS:
Chrome Mobile 143 on Android
View result in a separate tab
Embed
Embed Benchmark Result
Test name
Executions per second
division
5019770.5 Ops/sec
multiplication
4751835.5 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated one year ago):
The benchmark described in the provided JSON compares the performance of two mathematical operations in JavaScript: division (`y = x / 100`) and multiplication (`y = x * 0.01`). Both operations aim to compute the same result, but they utilize different mathematical approaches to do so. ### Options Compared 1. **Division** (`y = x / 100`) 2. **Multiplication** (`y = x * 0.01`) ### Performance Metrics The benchmark results indicate performance through "Executions Per Second," which reflects how many times each operation can be executed in a second on a given device configuration. In this case, both operations were run on a desktop browser (Chrome 132) with the following results: - **Multiplication:** 13,505,237 executions per second - **Division:** 13,473,945 executions per second ### Pros and Cons of Each Approach #### Division - **Pros:** - Intuitive and straightforward. Dividing by 100 directly represents the mathematical operation. - **Cons:** - Division is typically more computationally expensive compared to multiplication in many CPU architectures. This is due to the complexity of the division process in binary arithmetic. #### Multiplication - **Pros:** - Generally faster than division for most processors; multiplication operations are optimized at the hardware level. - Using a constant (0.01) to multiply can make the operation quicker, as multiplication with a constant can often be simplified in the execution pipeline. - **Cons:** - Slightly less intuitive compared to division for developers used to thinking in terms of absolute quantities. ### Other Considerations - **Accuracy:** Both operations should produce accurate results when performed with floating-point numbers in JavaScript. However, floating-point arithmetic can lead to precision issues based on how numbers are represented in binary format, particularly when comparing very small numbers or numbers with many decimal places. - **Hardware and Environment Influence:** The speeds may vary depending on the system's CPU, architecture, and how well the JavaScript engine optimizes for each type of operation. Results can vary across different browsers and devices, emphasizing the importance of testing in the specific environment where the application will run. ### Alternatives In addition to division and multiplication, developers may consider the use of other operations or techniques depending on the context. Alternatives could include: - **Bit Shifting:** For certain types of math, bitwise operations can be more efficient, such as shifting right (`x >> 1`) to divide by powers of two. - **Math Libraries:** Libraries like `math.js` or `decimal.js` could be used for more complex mathematical operations, though this can introduce additional overhead compared to pure JavaScript operations. - **Typed Arrays:** If the operation is performed in a performance-intensive loop over large datasets, using Typed Arrays for numerical calculations might yield better performance due to their optimizations. In sum, while both division and multiplication achieve the same result in this benchmark, multiplication emerges as the more efficient approach. Developers should weigh performance against code clarity and consider the specific constraints of their use case when choosing mathematical operations in their code.
Related benchmarks:
Multiply speed test 3
math pow vs multiply 8 times
math pow vs multiply (times 4)
math pow vs multiplya natoeuhanot
math pow vs multiply 5 - 2
Division2
hui's test case for round
math pow vs multiply3
~~ vs math.floor test
Comments
Confirm delete:
Do you really want to delete benchmark?